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Application of ANN and ANFIS in prediction of color strength of plasma-treated wool yarns dyed with a natural colorant

Aminoddin Haji (Department of Textile Engineering, Yazd University, Yazd, Islamic Republic of Iran)
Pedram Payvandy (Department of Textile Engineering, Yazd University, Yazd, Islamic Republic of Iran)

Pigment & Resin Technology

ISSN: 0369-9420

Article publication date: 24 January 2020

Issue publication date: 20 April 2020

180

Abstract

Purpose

Despite the increasing popularity of natural dyeing of textiles, the low substantivity between the fibers and the natural dyes is a problem. Several methods have been used to overcome this problem. In this study, wool fibers were pretreated with oxygen plasma under different conditions and dyed with the extract of grape leaves. The purpose of this study is to investigate the effects of plasma treatment parameters on the color strength of the dyed samples using artificial neural network (ANN) and adaptive neuro-fuzzy inference system (ANFIS) and evaluate the ability of these methods for predicting the color strength.

Design/methodology/approach

Woolen yarns were modified under different conditions of oxygen plasma treatment. Oxygen flow rate, power and time were considered as the treatment variable factors. Plasma-treated samples were dyed under constant conditions with the extract of grape leaves as a natural dye. ANN and ANFIS were applied to model and analyze the effect of plasma treatment parameters on the color strength of the dyed samples.

Findings

The results showed that increasing all the plasma treatment process variables, including oxygen flow rate, power and time increased the color strength of the dyed samples. The results showed that the developed ANN and ANFIS could accurately predict the experimental data with correlation coefficients of 0.986 and 0.997, respectively. According to the obtained correlation coefficients, ANFIS had a higher accuracy in prediction of the results of this study compared with the ANN and RSM models (correlation coefficient = 0.902, from our previous study).

Originality/value

This study uses ANN and ANFIS for predicting color strength of naturally dyed textiles for the first time. The use of computational intelligence for the optimization and prediction of the effects plasma treatment for the improvement of natural dyeing of wool is another novelty of this study.

Keywords

Citation

Haji, A. and Payvandy, P. (2020), "Application of ANN and ANFIS in prediction of color strength of plasma-treated wool yarns dyed with a natural colorant", Pigment & Resin Technology, Vol. 49 No. 3, pp. 171-180. https://doi.org/10.1108/PRT-10-2019-0089

Publisher

:

Emerald Publishing Limited

Copyright © 2020, Emerald Publishing Limited

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